Matches in SemOpenAlex for { <https://semopenalex.org/work/W4375863430> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W4375863430 abstract "Background and aims Transdermal alcohol content (TAC) data collected by wearable alcohol monitors could potentially contribute to alcohol research, but raw data from the devices are challenging to interpret. We aimed to develop and validate a model using TAC data to detect alcohol drinking. Design We used a model development and validation study design. Setting Indiana, USA Participants In March to April 2021, we enrolled 84 college students who reported drinking at least once a week (median age = 20 years, 73% white, 70% female). We observed participants’ alcohol drinking behavior for 1 week. Measurements Participants wore BACtrack Skyn monitors (TAC data), provided self-reported drinking start times in real time (smartphone app) and completed daily surveys about their prior day of drinking. We developed a model using signal filtering, peak detection algorithm, regression and hyperparameter optimization. The input was TAC and outputs were alcohol drinking frequency, start time and magnitude. We validated the model using daily surveys (internal validation) and data collected from college students in 2019 (external validation). Findings Participants (N = 84) self-reported 213 drinking events. Monitors collected 10 915 hours of TAC. In internal validation, the model had a sensitivity of 70.9% (95% CI = 64.1%–77.0%) and a specificity of 73.9% (68.9%–78.5%) in detecting drinking events. The median absolute time difference between self-reported and model-detected drinking start times was 59 min. Mean absolute error (MAE) for the reported and detected number of drinks was 2.8 drinks. In an exploratory external validation among five participants, number of drinking events, sensitivity, specificity, median time difference and MAE were 15%, 67%, 100%, 45 minutes and 0.9 drinks, respectively. Our model’s output was correlated with breath alcohol concentration data (Spearman’s correlation [95% CI] = 0.88 [0.77, 0.94]). Conclusion This study, the largest of its kind to date, developed and validated a model for detecting alcohol drinking using transdermal alcohol content data collected with a new generation of alcohol monitors. The model and its source code are available as Supporting Information (https://osf.io/xngbk)." @default.
- W4375863430 created "2023-05-10" @default.
- W4375863430 creator A5006652347 @default.
- W4375863430 creator A5018792517 @default.
- W4375863430 creator A5036821248 @default.
- W4375863430 creator A5039946237 @default.
- W4375863430 creator A5059236838 @default.
- W4375863430 creator A5063821258 @default.
- W4375863430 creator A5092338529 @default.
- W4375863430 date "2023-05-30" @default.
- W4375863430 modified "2023-10-10" @default.
- W4375863430 title "Development and validation of a model for measuring alcohol consumption from transdermal alcohol content data among college students" @default.
- W4375863430 cites W1573431422 @default.
- W4375863430 cites W1975684011 @default.
- W4375863430 cites W1978673167 @default.
- W4375863430 cites W1994682257 @default.
- W4375863430 cites W2003779273 @default.
- W4375863430 cites W2010969821 @default.
- W4375863430 cites W2024961803 @default.
- W4375863430 cites W2034413844 @default.
- W4375863430 cites W2040166834 @default.
- W4375863430 cites W2042634260 @default.
- W4375863430 cites W2048799165 @default.
- W4375863430 cites W2049004017 @default.
- W4375863430 cites W2056239716 @default.
- W4375863430 cites W2056885389 @default.
- W4375863430 cites W2093274439 @default.
- W4375863430 cites W2100687913 @default.
- W4375863430 cites W2106671991 @default.
- W4375863430 cites W2107476679 @default.
- W4375863430 cites W2155329925 @default.
- W4375863430 cites W2188214922 @default.
- W4375863430 cites W2210969396 @default.
- W4375863430 cites W2512193556 @default.
- W4375863430 cites W2523153599 @default.
- W4375863430 cites W2554140915 @default.
- W4375863430 cites W2741201409 @default.
- W4375863430 cites W2793350103 @default.
- W4375863430 cites W2801337635 @default.
- W4375863430 cites W2804071681 @default.
- W4375863430 cites W2889353495 @default.
- W4375863430 cites W2911623403 @default.
- W4375863430 cites W2944434778 @default.
- W4375863430 cites W2970600748 @default.
- W4375863430 cites W3046678406 @default.
- W4375863430 cites W3103145119 @default.
- W4375863430 cites W3130699824 @default.
- W4375863430 cites W3133300351 @default.
- W4375863430 cites W3157607001 @default.
- W4375863430 cites W3166699983 @default.
- W4375863430 cites W4297426694 @default.
- W4375863430 cites W4309990767 @default.
- W4375863430 doi "https://doi.org/10.1111/add.16228" @default.
- W4375863430 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37154154" @default.
- W4375863430 hasPublicationYear "2023" @default.
- W4375863430 type Work @default.
- W4375863430 citedByCount "1" @default.
- W4375863430 crossrefType "journal-article" @default.
- W4375863430 hasAuthorship W4375863430A5006652347 @default.
- W4375863430 hasAuthorship W4375863430A5018792517 @default.
- W4375863430 hasAuthorship W4375863430A5036821248 @default.
- W4375863430 hasAuthorship W4375863430A5039946237 @default.
- W4375863430 hasAuthorship W4375863430A5059236838 @default.
- W4375863430 hasAuthorship W4375863430A5063821258 @default.
- W4375863430 hasAuthorship W4375863430A5092338529 @default.
- W4375863430 hasConcept C185592680 @default.
- W4375863430 hasConcept C190385971 @default.
- W4375863430 hasConcept C2781066024 @default.
- W4375863430 hasConcept C3017944768 @default.
- W4375863430 hasConcept C3019635848 @default.
- W4375863430 hasConcept C55493867 @default.
- W4375863430 hasConcept C71924100 @default.
- W4375863430 hasConcept C99454951 @default.
- W4375863430 hasConceptScore W4375863430C185592680 @default.
- W4375863430 hasConceptScore W4375863430C190385971 @default.
- W4375863430 hasConceptScore W4375863430C2781066024 @default.
- W4375863430 hasConceptScore W4375863430C3017944768 @default.
- W4375863430 hasConceptScore W4375863430C3019635848 @default.
- W4375863430 hasConceptScore W4375863430C55493867 @default.
- W4375863430 hasConceptScore W4375863430C71924100 @default.
- W4375863430 hasConceptScore W4375863430C99454951 @default.
- W4375863430 hasFunder F4320337330 @default.
- W4375863430 hasLocation W43758634301 @default.
- W4375863430 hasLocation W43758634302 @default.
- W4375863430 hasOpenAccess W4375863430 @default.
- W4375863430 hasPrimaryLocation W43758634301 @default.
- W4375863430 hasRelatedWork W1875456417 @default.
- W4375863430 hasRelatedWork W1993926256 @default.
- W4375863430 hasRelatedWork W2020999216 @default.
- W4375863430 hasRelatedWork W2065279561 @default.
- W4375863430 hasRelatedWork W2088058257 @default.
- W4375863430 hasRelatedWork W2246928883 @default.
- W4375863430 hasRelatedWork W2270940306 @default.
- W4375863430 hasRelatedWork W2751229997 @default.
- W4375863430 hasRelatedWork W3135662776 @default.
- W4375863430 hasRelatedWork W4229821649 @default.
- W4375863430 isParatext "false" @default.
- W4375863430 isRetracted "false" @default.
- W4375863430 workType "article" @default.